S. Yerramareddy
Impact in
- Ecological Modeling top 10%
- Erosion and Abrasive Machining
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- Advanced materials and composites
Papers in
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- Advanced machining processes and optimization 3
- Advanced Measurement and Metrology Techniques 2
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- Neural Networks and Applications 3
- Co-authors
- Stephen C.-Y. Lu (2 shared papers)S.C.-Y. Lu (4 shared papers)James Westervelt (1 shared paper)Michael P. Case (1 shared paper)James H. Garrett (1 shared paper)S. Ranji Ranjithan (1 shared paper)David Tcheng (2 shared papers)Dimitris Assanis (1 shared paper)
- Journals
- Journal of Dynamic Systems Measurement and Control (2 papers)Wear (2 papers)Journal of Intelligent Manufacturing (2 papers)CIRP Annals (1 paper)Research in Engineering Design (1 paper)
- Partner nations
- United States
In The Last Decade
S. Yerramareddy
9 papers receiving 289 citations
Peers
Comparison fields: 5 of 68
- Ecological Modeling 59
- Mechanical Engineering 146
- Industrial and Manufacturing Engineering 39
- Mechanics of Materials 92
- Materials Chemistry 121
Countries citing papers authored by S. Yerramareddy
This map shows the geographic impact of S. Yerramareddy's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by S. Yerramareddy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. Yerramareddy more than expected).
Fields of papers citing papers by S. Yerramareddy
This network shows the impact of papers produced by S. Yerramareddy. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by S. Yerramareddy. The network helps show where S. Yerramareddy may publish in the future.
Co-authors
The 8 scholars most cited alongside S. Yerramareddy, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 1992 | 95 | |
| 2 | 1991 | 89 | |
| 3 | 1993 | 44 | |
| 4 | 1993 | 17 | |
| 5 | 1992 | 14 | |
| 6 | 1992 | 12 | |
| 7 | 1991 | 11 | |
| 8 | 1991 | 9 | |
| 9 | 1991 | 6 |
About S. Yerramareddy
S. Yerramareddy is a scholar working on Mechanical Engineering, Artificial Intelligence, Industrial and Manufacturing Engineering, Mechanics of Materials and Computational Theory and Mathematics, having authored 9 papers that have together received 297 indexed citations. Recurring topics across this work include Neural Networks and Applications (3 papers), Manufacturing Process and Optimization (3 papers), Advanced machining processes and optimization (3 papers), Advanced Multi-Objective Optimization Algorithms (2 papers), Advanced Measurement and Metrology Techniques (2 papers), Nuclear Materials and Properties (1 paper), Metal and Thin Film Mechanics (1 paper) and Metallurgy and Material Forming (1 paper). The work is most often cited by research in Ecological Modeling (59 citations), Mechanical Engineering (146 citations), Industrial and Manufacturing Engineering (39 citations), Mechanics of Materials (92 citations) and Materials Chemistry (121 citations). S. Yerramareddy has collaborated with scholars based in United States. Frequent co-authors include Stephen C.-Y. Lu, S.C.-Y. Lu, James Westervelt, Michael P. Case, James H. Garrett, S. Ranji Ranjithan, David Tcheng and Dimitris Assanis. Their work appears in journals such as Journal of Dynamic Systems Measurement and Control, Wear, Journal of Intelligent Manufacturing, CIRP Annals and Research in Engineering Design.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.